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Optimal Experimental Designs

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The Art of Progressive Censoring

Part of the book series: Statistics for Industry and Technology ((SIT))

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Abstract

The problem of an optimal censoring plan in progressive Type-II censoring is discussed for several criteria including minimum experimental time, maximum Fisher information, minimum variance of estimates, as well as further criteria proposed in the literature.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada

    N. Balakrishnan

  2. Institute of Statistics, RWTH Aachen University, Aachen, Germany

    Erhard Cramer

Authors
  1. N. Balakrishnan
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  2. Erhard Cramer
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Balakrishnan, N., Cramer, E. (2014). Optimal Experimental Designs. In: The Art of Progressive Censoring. Statistics for Industry and Technology. Birkhäuser, New York, NY. https://doi.org/10.1007/978-0-8176-4807-7_26

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